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eess.SY2025
On sample-based functional observability of linear systems
Isabelle Krauss, Victor G. Lopez, Matthias A. Müller
Sample-based observability characterizes the ability to reconstruct the internal state of a dynamical system by using limited output information, i.e., when measurements are only i…
eess.SY2025
Low-Rank Matrix Regression via Least-Angle Regression
Mingzhou Yin, Matthias A. Müller
Low-rank matrix regression is a fundamental problem in data science with various applications in systems and control. Nuclear norm regularization has been widely applied to solve t…
eess.SY2024
Gaussian Processes with Noisy Regression Inputs for Dynamical Systems
Tobias M. Wolff, Victor G. Lopez, Matthias A. Müller
This paper is centered around the approximation of dynamical systems by means of Gaussian processes. To this end, trajectories of such systems must be collected to be used as train…